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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    phrases related to airspace and aviation

    oai_token-act-pair · gpt-3.5-turbo

    references to airspace and its regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ative
    -0.73
    Hyper
    -0.72
    Ger
    -0.70
    Meat
    -0.69
    izations
    -0.68
     Soda
    -0.68
    agers
    -0.68
    Leader
    -0.68
    Gi
    -0.67
    NC
    -0.65
    POSITIVE LOGITS
     skies
    1.19
     airspace
    1.16
    querque
    1.01
     Seym
    0.98
    paio
    0.95
     turbulence
    0.94
     Skies
    0.89
     flown
    0.87
     rul
    0.86
    hawk
    0.86
    Activations Density 0.019%

    No Known Activations